NICOP - VOICE BASED HUMAN-ROBOT SOCIAL INTEGRATION

Abstract

VOICE BASED HUMAN-ROBOT SOCIAL INTEGRATION:This work will allow for better, voice based, communication between humans and robots in non-lab environments. In this project, state-of-the-art research on robust automatic speech recognition (ASR) for HRI will be carried out by making use of a collaborative robot swarm and human-robot social integration test bed. Text-to-speech (TTS) will be employed in human-robot and robot-robot communication to allow human operators to acquire the context of the robots. Image processing methods will also be evaluated as means to communicate humans the situation and environment that robots are going through. Images and data sent by the robotic system can be displayed in portable devices. b. Automation and robotics is an increasingly important part of ONR research. This research will allow for better autonomy and second order uses of robotics such as swarm approaches through voice commands. c. Tom McKenna and Micah Clark d. The proposed outcome is to publish in a great journal and present at a conference. This researcher has strong track record for good publications.

Document Details

Document Type
DoD Grant Award
Publication Date
Jan 04, 2017
Source ID
N629091712002

Entities

People

  • NĂ©stor Becerra Yoma

Organizations

  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Speech Processing/Speech Recognition.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction